Papers by Alafate Abulimiti

    1 papers
    How About Kind of Generating Hedges using End-to-End Neural Models? (2023.acl-long)

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    Challenge: hedging is a strategy for softening the impact of a statement in conversation.
    Approach: They propose to fine-tune state-of-the-art language models trained on human-human tutoring data and then use a hedge classifier to select the candidate that best matches the expected hedging strategy.
    Outcome: The proposed model is feasible in a noisy environment with reranking, and it is compared with other approaches.

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